Simulation Results for Generalized Gamma Distribution Inequality Measures

Simulation results evaluate a parameter estimation method for the generalized gamma distribution using grouped data. The dataset accompanies a study that also analyzes US income data for three different years and introduces the GGIneq web-tool. It was authored by Emrah Altun and last updated on 2026-05-19.

Use Cases

• Evaluating the performance of a minimum distance estimator based on Kullback-Leibler divergence for grouped data.
• Benchmarking inequality measures like the Gini coefficient, Theil, Atkinson, and Pietra indexes for the generalized gamma distribution.
• Supporting methodological research on income distribution modeling and parameter estimation.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• It is associated with a published study and a developed web-tool (GGIneq) for practical application.
• File size is 13.5 KB, indicating a focused and manageable dataset.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description does not specify the exact years of the US income data analyzed in the associated study.

Provenance

Source

Emrah Altun via figshare.

Collection Method

Likely generated via simulation study to evaluate a statistical estimation method.

Freshness

Last updated 2026-05-19 17:37:43; freshness should be verified.